MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
Fast Gemini model balancing multimodal reasoning, tool use, and cost
Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution...
Agent-ready GPT for coding and computer-use workflows at a lower cost
GPT-5.4 is OpenAI’s latest frontier model, unifying the Codex and GPT lines into a single system. It features a 1M+ token context window (922K input, 128K output) with support for...
MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...
MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...
MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent...
Qwen 3.6 Plus builds on a hybrid architecture that combines efficient linear attention with sparse mixture-of-experts routing, enabling strong scalability and high-performance inference. Compared to the 3.5 series, it delivers...
MoonshotAI: Kimi K2.7 Code is a coding-focused model in Moonshot AI's Kimi K2 family, built to complete end-to-end programming tasks reliably over long contexts. It uses a native multimodal mixture-of-experts...
Nex-N2-Pro is an agentic mixture-of-experts model from Nex AGI, with 17B active parameters out of 397B total. Built on the Qwen3.5 architecture, it accepts text and image input and produces...
Coding-focused Kimi model, stronger on long-horizon repo work with less overthinking
GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy...
Google's proven reasoning model for coding, math, and multimodal analysis
Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...
Original GPT-5 workhorse for reasoning, coding, writing, and tool workflows
Earlier Kimi frontier model for long-context agents, coding, and multimodal work
Grok 4.20 is a reasoning model from SpaceXAI with industry-leading speed and agentic tool calling capabilities. It combines the lowest hallucination rate on the market with strict prompt adherance, delivering...
Codex GPT for repository edits, code review, and practical software agents
MiniMax-M2.1 is a lightweight, state-of-the-art large language model optimized for coding, agentic workflows, and modern application development. With only 10 billion activated parameters, it delivers a major jump in real-world...
Sharper GPT-5 generation for coding, product work, and tool-assisted tasks
GPT-5.1 is the latest frontier-grade model in the GPT-5 series, offering stronger general-purpose reasoning, improved instruction adherence, and a more natural conversational style compared to GPT-5. It uses adaptive reasoning...
Open MoE flagship with million-token context for coding and long agent runs
GPT-5.2 is the latest frontier-grade model in the GPT-5 series, offering stronger agentic and long context perfomance compared to GPT-5.1. It uses adaptive reasoning to allocate computation dynamically, responding quickly...
Reliable GPT generation for broad coding, writing, and tool-assisted product work
GLM-5V-Turbo is Z.ai’s first native multimodal agent foundation model, built for vision-based coding and agent-driven tasks. It natively handles image, video, and text inputs, excels at long-horizon planning, complex coding,...
GLM-4.7 is Z.ai’s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution. It demonstrates significant improvements in executing complex agent tasks while...
Deliberate o-series reasoner for hard math, coding, and multi-step analysis
o3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual reasoning tasks. It also excels at technical writing and instruction-following....
Grok 4.3 is a reasoning model from SpaceXAI. It accepts text and image inputs with text output, and is suited for agentic workflows, instruction-following tasks, and applications requiring high factual...
Grok 4.3 is a reasoning model from SpaceXAI. It accepts text and image inputs with text output, and is suited for agentic workflows, instruction-following tasks, and applications requiring high factual...
Official DeepSeek V4 Flash release with enhanced agentic capabilities and integrated DSpark speculative decoding
DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows....
Upstage's flagship model, specialized for agentic use
Inkling is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 41B active parameters out of 975B total. It is designed for general-purpose reasoning, coding, agentic and tool-use systems,...
Multimodal MoE reasoning model (975B total, 41B active) for text, image, and audio
Inkling is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 41B active parameters out of 975B total. It is designed for general-purpose reasoning, coding, agentic and tool-use systems,...
Hy3 is a 295B-parameter Mixture-of-Experts model from Tencent (21B active, 192 experts with top-8 routing) built for reasoning, agentic workflows, and real-world production use. It supports a configurable reasoning effort:...
The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. It delivers...
MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon the coding expertise of M2.1...
Newer StepFun flash model for faster agents, coding, and multimodal prompts
Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflows. It delivers state-of-the-art performance on coding benchmarks such as SWE-bench Verified, with...
Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflows. It delivers state-of-the-art performance on coding benchmarks such as SWE-bench Verified, with...
Claude Opus 4.1 is an updated version of Anthropic’s flagship model, offering improved performance in coding, reasoning, and agentic tasks. It achieves 74.5% on SWE-bench Verified and shows notable gains...
Claude Opus 4.1 is an updated version of Anthropic’s flagship model, offering improved performance in coding, reasoning, and agentic tasks. It achieves 74.5% on SWE-bench Verified and shows notable gains...
Coding-optimized GPT model for repository edits, reviews, and agentic software work
Claude Sonnet 4 significantly enhances the capabilities of its predecessor, Sonnet 3.7, excelling in both coding and reasoning tasks with improved precision and controllability. Achieving state-of-the-art performance on SWE-bench (72.7%),...
Claude Opus 4 is benchmarked as the world’s best coding model, at time of release, bringing sustained performance on complex, long-running tasks and agent workflows. It sets new benchmarks in...
NVIDIA Nemotron 3 Ultra is an open frontier-reasoning and orchestration model from NVIDIA, with 55B active parameters out of 550B total (MoE). Built on a hybrid Transformer-Mamba mixture-of-experts architecture, it...
NVIDIA Nemotron 3 Ultra is an open frontier-reasoning and orchestration model from NVIDIA, with 55B active parameters out of 550B total (MoE). Built on a hybrid Transformer-Mamba mixture-of-experts architecture, it...
| Model | Creator | Score | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|---|
| MiniMax: MiniMax M3 (free)minimax/minimax-m3:free | 1251.0 | 1.04858M | Free | Free | — | |||
| Gemini 3.5 Flashgoogle/gemini-3.5-flash | 1250.0 | 1.04858M | $1.5 | $9 | 2026-05-19 | |||
| Google: Gemini 3.5 Flash (batch)google/gemini-3.5-flash:batch | 1250.0 | 1.04858M | $0.75 | $4.5 | — | |||
| GPT-5.4openai/gpt-5.4 | 1250.0 | 1.05M | $2.5 | $15 | 2026-03-05 | |||
| OpenAI: GPT-5.4 (batch)openai/gpt-5.4:batch | 1250.0 | 1.05M | $1.25 | $7.5 | — | |||
| MiniMax: MiniMax M3 (batch)minimax/minimax-m3:batch | 1249.0 | 524.288K | $0.3 | $1.2 | — | |||
| MiniMax: MiniMax M3minimax/minimax-m3 | 1249.0 | 524.288K | $0.3 | $1.2 | — | |||
| MiniMax: MiniMax M2.7minimax/minimax-m2.7 | 1249.0 | 204.8K | $0.3 | $1.2 | — | |||
| Qwen: Qwen3.6 Plusqwen/qwen3.6-plus | 1245.0 | 1M | $0.325 | $1.95 | — | |||
| MoonshotAI: Kimi K2.7 Code (batch)moonshotai/kimi-k2.7-code:batch | 1243.0 | 262.144K | $0.95 | $4 | — | |||
| Nex AGI: Nex-N2-Pronex-agi/nex-n2-pro | 1242.0 | 262.144K | $0.25 | $1 | — | |||
| Kimi K2.7 Codemoonshotai/kimi-k2.7-code | 1238.0 | 262.144K | $0.95 | $4 | 2026-06-12 | |||
| OpenAI: GPT-5 (batch)openai/gpt-5:batch | 1237.0 | 400K | $0.625 | $5 | — | |||
| Gemini 2.5 Progoogle/gemini-2.5-pro | 1237.0 | 1.04858M | $1.25 | $10 | 2025-06-17 | |||
| Google: Gemini 2.5 Pro (batch)google/gemini-2.5-pro:batch | 1237.0 | 1.04858M | $0.625 | $5 | — | |||
| GPT-5openai/gpt-5 | 1237.0 | 400K | $1.25 | $10 | 2025-08-07 | |||
| Kimi K2.5moonshotai/kimi-k2.5 | 1235.0 | 262.144K | $0.3 | $1.9 | 2026-01 | |||
| SpaceXAI: Grok 4.20x-ai/grok-4.20 | 1234.0 | 2M | $1.25 | $2.5 | — | |||
| GPT-5.1 Codexopenai/gpt-5.1-codex | 1229.0 | 400K | $1.07 | $8.5 | 2025-11-13 | |||
| MiniMax: MiniMax M2.1minimax/minimax-m2.1 | 1222.0 | 204.8K | $0.3 | $1.2 | — | |||
| GPT-5.1openai/gpt-5.1 | 1220.0 | 400K | $1.25 | $10 | 2025-11-13 | |||
| OpenAI: GPT-5.1 (batch)openai/gpt-5.1:batch | 1220.0 | 400K | $0.625 | $5 | — | |||
| DeepSeek V4 Prodeepseek/deepseek-v4-pro | 1218.0 | 1M | $0.435 | $0.87 | 2026-04-24 | |||
| OpenAI: GPT-5.2 (batch)openai/gpt-5.2:batch | 1216.0 | 400K | $0.875 | $7 | — | |||
| GPT-5.2openai/gpt-5.2 | 1216.0 | 400K | $1.75 | $14 | 2025-12-11 | |||
| Z.ai: GLM 5V Turboz-ai/glm-5v-turbo | 1216.0 | 202.752K | $1.2 | $4 | — | |||
| Z.ai: GLM 4.7z-ai/glm-4.7 | 1211.0 | 202.752K | $0.4 | $1.75 | — | |||
| o3openai/o3 | 1200.0 | 200K | $2 | $8 | 2025-04-16 | |||
| OpenAI: o3 (batch)openai/o3:batch | 1200.0 | 200K | $1 | $4 | — | |||
| SpaceXAI: Grok 4.3 (batch)x-ai/grok-4.3:batch | 1198.0 | 1M | $1 | $2 | — | |||
| SpaceXAI: Grok 4.3x-ai/grok-4.3 | 1198.0 | 1M | $1.25 | $2.5 | — | |||
| DeepSeek V4 Flash 0731deepseek/deepseek-v4-flash-0731 | 1197.0 | 1M | $0.05 | $0.16 | 2026-07-31 | |||
| DeepSeek: DeepSeek V4 Flash 0731 (batch)deepseek/deepseek-v4-flash-0731:batch | 1197.0 | 1.04858M | $0.11 | $0.33 | — | |||
| Solar Pro 4upstage/solar-pro4 | 1195.0 | 524.288K | $0.3 | $1.2 | 2026-08-06 | |||
| Thinking Machines: Inkling (free)thinkingmachines/inkling:free | 1193.0 | 1.04858M | Free | Free | — | |||
| Inklingthinkingmachines/inkling | 1193.0 | 1.04858M | $1.87 | $4.68 | 2026-07-15 | |||
| Thinking Machines: Inkling (batch)thinkingmachines/inkling:batch | 1193.0 | 524.288K | $1 | $4.05 | — | |||
| Tencent: Hy3 (free)tencent/hy3:free | 1192.0 | 262.144K | Free | Free | — | |||
| Qwen: Qwen3.5 397B A17Bqwen/qwen3.5-397b-a17b | 1191.0 | 262.144K | $0.55 | $3.5 | — | |||
| MiniMax: MiniMax M2.5minimax/minimax-m2.5 | 1187.0 | 200K | $0.27 | $1.08 | — | |||
| Step 3.7 Flashstepfun/step-3.7-flash | 1186.0 | 256K | $0.185 | $1.11 | 2026-05-29 | |||
| Anthropic: Claude Sonnet 4.5 (batch)anthropic/claude-sonnet-4.5:batch | 1182.0 | 1M | $1.5 | $7.5 | — | |||
| Anthropic: Claude Sonnet 4.5anthropic/claude-sonnet-4.5 | 1182.0 | 1M | $3 | $15 | — | |||
| Anthropic: Claude Opus 4.1anthropic/claude-opus-4.1 | 1181.0 | 200K | $15 | $75 | — | |||
| Anthropic: Claude Opus 4.1 (batch)anthropic/claude-opus-4.1:batch | 1181.0 | 200K | $7.5 | $37.5 | — | |||
| GPT-5.3 Codexopenai/gpt-5.3-codex | 1180.0 | 400K | $1.75 | $14 | 2026-02-05 | |||
| Anthropic: Claude Sonnet 4anthropic/claude-sonnet-4 | 1173.0 | 200K | $3 | $15 | — | |||
| Anthropic: Claude Opus 4anthropic/claude-opus-4 | 1161.0 | 200K | $15 | $75 | — | |||
| NVIDIA: Nemotron 3 Ultra (batch)nvidia/nemotron-3-ultra-550b-a55b:batch | 1158.0 | 512.288K | $0.6 | $3.6 | — | |||
| NVIDIA: Nemotron 3 Ultra (free)nvidia/nemotron-3-ultra-550b-a55b:free | 1156.0 | 1M | Free | Free | — |